Next Article in Journal
UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks
Previous Article in Journal
Time Series of Landsat Imagery Shows Vegetation Recovery in Two Fragile Karst Watersheds in Southwest China from 1988 to 2016
Open AccessArticle

Riverine Plastic Litter Monitoring Using Unmanned Aerial Vehicles (UAVs)

The Ocean Cleanup, 3014 JH Rotterdam, The Netherlands
Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628 CN Delft, The Netherlands
Hydrology and Quantitative Water Management Group, Wageningen University, 6708 PB Wageningen, The Netherlands
Faculty of Engineering, Department of Civil Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(17), 2045;
Received: 21 July 2019 / Revised: 22 August 2019 / Accepted: 28 August 2019 / Published: 30 August 2019
(This article belongs to the Section Environmental Remote Sensing)
Plastic debris has become an abundant pollutant in marine, coastal and riverine environments, posing a large threat to aquatic life. Effective measures to mitigate and prevent marine plastic pollution require a thorough understanding of its origin and eventual fate. Several models have estimated that land-based sources are the main source of marine plastic pollution, although field data to substantiate these estimates remain limited. Current methodologies to measure riverine plastic transport require the availability of infrastructure and accessible riverbanks, but, to obtain measurements on a higher spatial and temporal scale, new monitoring methods are required. This paper presents a new methodology for quantifying riverine plastic debris using Unmanned Aerial Vehicles (UAVs), including a first application on Klang River, Malaysia. Additional plastic measurements were done in parallel with the UAV-based approach to make comparisons between the two methods. The spatiotemporal distribution of the plastics obtained with both methods show similar patterns and variations. With this, we show that UAV-based monitoring methods are a promising alternative for currently available approaches for monitoring riverine plastic transport, especially in remote and inaccessible areas. View Full-Text
Keywords: unmanned aerial vehicles; hydrology; marine plastic; plastic litter; rivers unmanned aerial vehicles; hydrology; marine plastic; plastic litter; rivers
Show Figures

Graphical abstract

MDPI and ACS Style

Geraeds, M.; van Emmerik, T.; de Vries, R.; bin Ab Razak, M.S. Riverine Plastic Litter Monitoring Using Unmanned Aerial Vehicles (UAVs). Remote Sens. 2019, 11, 2045.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop